Spring Kafka-生成消息时如何获取时间戳(事件时间)

时间:2019-03-20 00:57:15

标签: spring-boot apache-kafka apache-kafka-streams spring-kafka

我需要在kafka使用者应用程序中获取生成消息时的时间戳(事件时间)。我知道可以与kafka stream一起使用的timestampExtractor,但是我的要求有所不同,因为我没有使用stream来消耗消息。

我的卡夫卡制片人如下:

@Override
public void run(ApplicationArguments args) throws Exception {


    List<String> names = Arrays.asList("priya", "dyser", "Ray", "Mark", "Oman", "Larry");
    List<String> pages = Arrays.asList("blog", "facebook", "instagram", "news", "youtube", "about");
    Runnable runnable = () -> {
        String rPage = pages.get(new Random().nextInt(pages.size()));
        String rName = pages.get(new Random().nextInt(names.size()));
        PageViewEvent pageViewEvent = new PageViewEvent(rName, rPage, Math.random() > .5 ? 10 : 1000);

        Message<PageViewEvent> message =  MessageBuilder
                .withPayload(pageViewEvent).
                setHeader(KafkaHeaders.MESSAGE_KEY, pageViewEvent.getUserId().getBytes())
                        .build();

        try {
            this.pageViewsOut.send(message);
            log.info("sent " + message);
        } catch (Exception e) {
            log.error(e);
        }
    };

Kafka Consumer是使用Spring kafka @KafkaListener实现的。

@KafkaListener(topics = "test1" , groupId = "json", containerFactory = "kafkaListenerContainerFactory")

    public void receive(@Payload PageViewEvent data,@Headers MessageHeaders headers) {
        LOG.info("Message received");
        LOG.info("received data='{}'", data);
 }

容器出厂配置

   @Bean
   public ConsumerFactory<String,PageViewEvent > priceEventConsumerFactory() {

        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, JsonDeserializer.class);
        props.put(ConsumerConfig.GROUP_ID_CONFIG, "json");
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
        return new DefaultKafkaConsumerFactory<>(props, new StringDeserializer(), new JsonDeserializer<>(PageViewEvent.class));



    }

    @Bean
    public ConcurrentKafkaListenerContainerFactory<String, PageViewEvent> priceEventsKafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<String, PageViewEvent> factory =
                new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(priceEventConsumerFactory());
        return factory;
    }

在我打印时发送消息的生产者给我以下数据:

  

[有效载荷= PageViewEvent(用户ID =博客,页面=关于,持续时间= 10),   标头= {id = 8ebdad85-e2f7-958f-500e-4560ac0970e5,   kafka_messageKey = [B @ 71975e1a,contentType = application / json,   timestamp = 1553041963803}]

这确实产生了时间戳。如何使用Spring Kafka提取消息产生的时间戳?

2 个答案:

答案 0 :(得分:0)

RECEIVED_TIMESTAMP表示它是来自记录的时间戳而不是接收时间。我们避免将其放入TIMESTAMP中,以免意外传播到出站消息。

答案 1 :(得分:0)

You can use something like below:

final Producer<String, String> producer = new KafkaProducer<String, String>(properties);
        long time = System.currentTimeMillis();
        final CountDownLatch countDownLatch = new CountDownLatch(5);
        int count=0;
        try {
            for (long index = time; index < time + 10; index++) {
                String key = null;
                count++;
                if(count<=5)
                    key = "id_"+ Integer.toString(1);
                else
                    key = "id_"+ Integer.toString(2);
                final ProducerRecord<String, String> record =
                        new ProducerRecord<>(TOPIC, key, "B2B Sample Message: " + count);
                producer.send(record, (metadata, exception) -> {
                    long elapsedTime = System.currentTimeMillis() - time;
                    if (metadata != null) {
                        System.out.printf("sent record(key=%s value=%s) " +
                                        "meta(partition=%d, offset=%d) time=%d timestamp=%d\n",
                                record.key(), record.value(), metadata.partition(),
                                metadata.offset(), elapsedTime, metadata.timestamp());
                        System.out.println("Timestamp:: "+metadata.timestamp() );
                    } else {
                        exception.printStackTrace();
                    }
                    countDownLatch.countDown();
                });
            }
            try {
                countDownLatch.await(25, TimeUnit.SECONDS);
            } catch (InterruptedException e) {
                e.printStackTrace();
            }
        }finally {
            producer.flush();
            producer.close();
        }

    }